MétaCan
Menu
Back to cohort
Record W2253501368 · doi:10.2307/3661025

[no title]

2003· article· en· W2253501368 on OpenAlexaff
Barbara Clow, James S. Olson

Bibliographic record

VenueJournal of American History · 2003
Typearticle
Languageen
FieldMedicine
TopicHistorical Medical Research and Treatments
Canadian institutionsDalhousie University
Fundersnot available
KeywordsPoliticsBreast cancerHistoryRadical mastectomyClassicsMastectomyCancerMedicineLawPolitical science

Abstract

fetched live from OpenAlex

James S. Olson has had a distinguished career as an American historian, writing or editing books on subjects as diverse as ethnicity, the New Deal, sports, and John Wayne. In his latest book, Bathsheba's Breast, he details the history of breast cancer from antiquity to the present, from the sufferings of Persian queen Atossa in 538 B.C. to Jerri Nielsen's confrontation with cancer at the South Pole in A.D. 1999. Olson's history has much to recommend it—as those who nominated it for a Pulitzer Prize clearly appreciated. Spanning over 2,500 years, the book provides a wealth of information about the history of breast cancer. His discussion of the very early history of breast cancer is particularly impressive, given the dearth of sources from and scholarly studies of those centuries. But, like many histories of cancer—my own included—the book's center of gravity is the late nineteenth and twentieth centuries. By chapter 3, Olson has introduced the reader to the father of the radical mastectomy, William Stewart Halsted, and the remaining chapters focus on the waxing and waning fortunes of that procedure in the United States. This is not to suggest he ignores the importance of radiotherapy and chemotherapy or the women's and environmental movements; rather, those political, cultural, and medical phenomena are analyzed in terms of their impact on popular and professional views of radical mastectomy. Olson concludes that “a consensus had emerged about treatment” at the end of the 1990s, with Halsted's procedure firmly “moved from surgical texts to history books” (p. 250).

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.006
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.763
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.027
GPT teacher head0.309
Teacher spread0.282 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2003
Admission routes1
Has abstractyes

Explore more

Same venueJournal of American HistorySame topicHistorical Medical Research and TreatmentsFrench-language works237,207